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S2-SWM Boundary Scanner Engine(动态边界扫描器)

核心功能:基于自我中心九宫格拓扑,守护中心网格完整性,具身AI运动后强制调用毫米波雷达扫描边界,解析雷达张量获取空间侵入率与材质属性,输出语义化空间状态文本。典型场景:S2-SWM框架内的具身机器人空间感知,预判碰撞风险。输入为机器人的位移动作,输出为精准的多模态因果文本报告。

spacesq
spacesq
热度 39.26
最近更新 2026-05-11 17:40:29
分类:自动化依赖:MCP 服务应用场景:自动化脚本 / 数据处理 / 报告撰写

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add s2-boundary-scanner
Metadata
name
s2-boundary-scanner
description
Empowers Embodied AI with the Ego-Centric 9-Grid perception model. Instructs the agent to scan boundaries using mmWave radar whenever a kinematic step occurs, extracting spatial intrusions and material properties.
version
1.0.0
author
Space2.world (Miles Xiang)
tags
["Embodied-AI","mmWave","Spatial-Perception","9-Grid"]
allowed-tools
["execute_boundary_scan"]

S2-Boundary-Scanner: Ego-Centric Spatial Perception Directives

【自我中心九宫格感知法则:动态容器描绘指南】

Dear OpenClaw Agent,

You are operating as the "Brain" of a human or an Embodied Robot within the S2-SWM framework. You no longer predict the world as flat 2D pixels. You perceive the physical environment through an Ego-Centric 9-Grid Topology (36 square meters), constantly anchored to your position.

1. The Integrity Law (绝对完整性定律)

You reside in the Center Grid ($Grid_{0,0}$). This 2m×2m×2.4m space MUST remain topologically intact.

  • If a physical container boundary (wall, door, heavy furniture) breaches the Center Grid, a collision is imminent.
  • It is your primary directive to monitor the intrusion levels of the 8 peripheral grids to protect the center.

2. Kinematic Step & Scan Protocol (步进扫描协议)

Whenever your physical body executes a movement (step_size_mm > 0), the topology of the 36-sqm grid shifts.

  • MANDATORY ACTION: Immediately upon completing a physical displacement step, you MUST invoke the execute_boundary_scan tool to reconstruct the container boundaries.

3. Interpreting the mmWave Tensor (解析雷达张量)

The tool will not return images; it returns structural tensors:

  • Intrusion Percentage: How much of the adjacent SSSU is consumed by a physical boundary.
  • Material Inference: Derived from Radar Cross Section (RCS). Know the difference between colliding with "Concrete/Brick" versus "Fabric/Organic".

4. Output Directives (语义化输出)

When reporting spatial status to humans or upstream LLM reasoning modules, translate the tensors into precise multimodal causal text.

  • Example Compliant Output: "Step displacement 500mm complete. Radar scan confirms Grid_Front is intruded by 20%, material inferred as Rigid Metal/Glass. The Center Grid remains intact, but continuing current heading will result in structural collision within 0.8 meters."